Paper Citation Record · LEDGER

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings

As of 19 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2506.21386.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.21386 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:29:28.066249Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy18
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b2bc0506-eb09-4a57-bef7-9cc7c1b688ea · outbound

This paper cites https://openslr.org.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings https://openslr.org

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:59.479174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a75b8d0-0f8a-467b-8a07-27df7b7e380e · outbound

This paper cites an unresolved cited work.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:29:59.419617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 92c9ddd7-019e-4168-81cf-4e06a4cd404e · outbound

This paper cites Convolutional neural networks for speech recognition.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Convolutional neural networks for speech recognition

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:59.366342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 31434c58-a9a3-4890-b6ef-99243433931a · outbound

This paper cites Tyers, and Gregor Weber.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Tyers, and Gregor Weber

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:59.315038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f127f4c4-e448-4571-9761-400ae84aaf2d · outbound

This paper cites Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:59.247913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 93992737-5167-433e-b908-e4abad5711a2 · outbound

This paper cites Nlp for arabic and related languages.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Nlp for arabic and related languages

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:59.204979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1f07431c-1fce-4105-b67f-07260faefbe6 · outbound

This paper cites Dialectal Coverage And Generalization in Arabic Speech Recognition.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Dialectal Coverage And Generalization in Arabic Speech Recognition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T22:29:27.787358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a2b46c4-3858-4489-a40e-3bd19379bd2e · outbound

This paper cites Arabic dialect identification with deep learning and hybrid frequency based features.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Arabic dialect identification with deep learning and hybrid frequency based features

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:59.169472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8636b89d-29b5-4867-9967-28022153e246 · outbound

This paper cites Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:59.121395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c60c3548-88c3-4c16-b69b-d8719d58206c · outbound

This paper cites Long short-term memory.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Long short-term memory

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:59.074668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16b78412-c159-475c-bd7f-56c6f8528f91 · outbound

This paper cites Seltzer, and Sanjeev Khudanpur.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Seltzer, and Sanjeev Khudanpur

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:59.016654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3617f667-7ca5-4026-aa16-710340c8a309 · outbound

This paper cites Pywavelets: A python package for wavelet analysis.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Pywavelets: A python package for wavelet analysis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:58.954700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5f034aa0-6c2d-47f1-8921-a8d9c0009640 · outbound

This paper cites Academic Press, 1999.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Academic Press, 1999

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:58.912593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 953b8127-add4-449d-9ee2-3471cbb0e7f0 · outbound

This paper cites librosa: Audio and music signal analysis in python.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings librosa: Audio and music signal analysis in python

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:58.826635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7f323eab-504b-4daa-a045-5af2934d6aaa · outbound

This paper cites an unresolved cited work.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:29:58.739605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1529c517-f128-4699-86c3-b5b43ea481c3 · outbound

This paper cites Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:58.668188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 633da648-edc0-41e1-9e44-f86f03e65d31 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Pytorch: An imperative style, high-performance deep learning library

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:28.483655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 39e031cc-5fe1-4e57-855f-bb4de3bbe405 · outbound

This paper cites Scikit-learn: Machine learning in python.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Scikit-learn: Machine learning in python

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:28.407801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e3bf40af-9d32-4492-b8fb-75fc1688ae61 · outbound

This paper cites an unresolved cited work.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:29:28.349040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90fb2c8f-83ae-48d4-834a-8015d114256a · outbound

This paper cites Rahman, Md.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Rahman, Md

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:28.285993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8eb69429-ea8d-4f14-9e00-fb981e1672a5 · outbound

This paper cites Convolutional neural networks and language embed- dings for end-to-end dialect recognition.

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Convolutional neural networks and language embed- dings for end-to-end dialect recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:28.237216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8c7dcaf-8682-4b10-bf34-1115faa84458 · outbound

This paper cites Arabic dialect recognition hybrid models (code repository).

Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings Arabic dialect recognition hybrid models (code repository)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:29:28.181986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.